LLM-Driven .NET Backend Engineer (Azure AI)

WIZELINE; España; Presencial; EUR 75.000 - 110.000; Jornada completa

Descripción de la vacante

Wizeline is seeking an experienced .NET focused AI/ML backend engineer in Spain to design and build secure, scalable applications powered by Azure AI services. You will own features end-to-end, working with Product, Platform, Data, Security, and Compliance to deliver AI solutions in regulated environments.

You will implement Azure OpenAI, Azure AI Search, and RAG, optimize for performance, explainability, and auditability, and help elevate code quality and development standards across the team.

Formación

• Experience building secure, scalable backend services.
• Experience with Azure OpenAI Service for chat and completion.
• Experience with REST APIs, Azure AI Studio/Foundry.
• Experience with SQL databases and data security practices.
• Strong English communication.

Responsabilidades

• Design and build secure, scalable .NET applications.
• Lead end-to-end features from discovery to production.
• Collaborate with cross-functional teams and stakeholders.
• Implement RAG solutions and Azure OpenAI integrations.
• Contribute to code quality and development standards.
• Ensure explainability and auditable AI systems.

Conocimientos

C# and .NET development

REST API design/consumption

Azure cloud services

Azure OpenAI Service

Azure AI Search

RAG / retrieval augmented generation

Embeddings / vectorization

Prompt engineering & responsible AI

SQL & relational databases

Security & cloud security

Team collaboration & communication

English communication

Herramientas

Docker

Kubernetes

CI/CD pipelines

Descripción del empleo

Wizeline is seeking an experienced .NET focused AI/ML backend engineer in Spain to design and build secure, scalable applications powered by Azure AI services. You will own features end-to-end, working with Product, Platform, Data, Security, and Compliance to deliver AI solutions in regulated environments.

You will implement Azure OpenAI, Azure AI Search, and RAG, optimize for performance, explainability, and auditability, and help elevate code quality and development standards across the team.